Generative AI At The Edge?! Hailo Has You Covered

ipXchange
7 May 202405:07

TLDRAt Embedded World 2024, Amon from IP Exchange interviews Yan from Hailo about their cutting-edge AI acceleration solutions for edge computing. Hailo, an Israeli startup, developed AI accelerators like the Hailo-8 and Hailo-15, focusing on power-efficient AI inference at the edge. Their chips are ideal for smart cameras, facial recognition, and smart city applications. Hailo also announced the upcoming Hailo-10H, designed for generative AI at the edge, targeting automotive and industrial markets. Engineers can evaluate the technology using M.2 boards or Raspberry Pi, with further demos expected later this year.

Takeaways

  • 🤖 Hailo is an Israeli startup founded in 2017, specializing in AI acceleration at the edge.
  • ⚡ Their AI accelerator, Hailo-8, delivers high performance and power efficiency, consuming around 3 watts on average.
  • 💻 The Hailo-8 accelerator can run inference at the edge and works with various SOCs like Intel and ARM over PCI Express.
  • 📸 Hailo also developed the Hailo-15, a smart camera chip with built-in AI for tasks like facial and license plate recognition, targeting smart cities and security applications.
  • 🌐 Edge computing keeps data localized, enhancing privacy and security while offering real-time AI inference.
  • 🛑 Hailo's technology is used for vehicle and pedestrian detection, crucial for improving urban traffic safety.
  • 🆕 Hailo announced a new product, the Hailo-10H, designed for generative AI at the edge, with applications in industrial interfaces, automotive, and PCs.
  • 🚗 The Hailo-10H could enhance user interfaces in cars and embedded systems through natural language processing (NLP).
  • 🔧 Engineers can test Hailo's technology with the M.2 module, compatible with PCs, laptops, and Raspberry Pi.
  • 📅 More announcements regarding Hailo's generative AI products are expected later in the year.

Q & A

  • What is Hailo and when was it founded?

    -Hailo is an Israel-based AI startup founded in 2017, focusing on AI acceleration and edge inference solutions.

  • What is Hailo’s first product, and what are its key features?

    -Hailo's first product is an AI accelerator on an M.2 module, offering 26 TOPS (tera operations per second) performance while consuming only 3 watts, optimized for inference at the edge.

  • What kind of applications does Hailo’s technology excel in?

    -Hailo's technology performs best in applications related to smart cities, facial recognition, vehicle and pedestrian detection, and security, particularly in edge AI environments.

  • What is the Hailo-15 chip, and what are its main use cases?

    -The Hailo-15 is a camera chip with an integrated ISP, DSP, and AI capabilities, designed for smart cameras used in applications such as number plate recognition, vehicle and pedestrian detection, and security systems.

  • How does Hailo ensure data security when using its products at the edge?

    -Hailo ensures data security by running the AI processes on the memory in the device itself, keeping the data localized and safe within the user’s own system.

  • What new product did Hailo recently announce?

    -Hailo recently announced the Hailo-10H, a product specifically designed for use in edge AI applications like industrial user interfaces and automotive systems.

  • In what industries is Hailo-10H expected to have a significant impact?

    -The Hailo-10H is expected to significantly impact the PC market, automotive industry, and industrial systems, especially in enhancing AI-driven user interfaces.

  • How does the Hailo-10H contribute to advancements in natural language interfaces?

    -The Hailo-10H can improve natural language processing by enabling devices to understand and respond to verbal commands in ways that were not previously possible.

  • What evaluation tools does Hailo provide for engineers to test its technology?

    -Hailo offers M.2 evaluation boards that can be easily used with laptops, PCs, and interfaces, as well as additional options like Raspberry Pi compatibility for testing.

  • Are there any demos available for the Hailo-10H, and what future plans does Hailo have?

    -Hailo has announced plans for future demos and further announcements related to the Hailo-10H, which are expected later this year.

Outlines

00:00

🤖 AI Acceleration with Halo at Embedded World 2024

In this introduction, Amon from IP Exchange interviews Yan from Halo at Embedded World 2024. Yan shares details about Halo, an Israeli startup established in 2017, and its AI accelerator focused on power efficiency and performance. Yan highlights the first product, an m.2 module consuming around 3 watts, which enables AI inference at the edge.

05:00

🚗 Ideal Applications for Halo AI Chips

Yan elaborates on the key application areas for Halo's AI chips, particularly for the accelerator (Halo 8), which operates over PCI Express. He mentions the integration of these chips with Intel, ARM, and other systems. Yan also introduces Halo's second-generation product, the Halo 15, which includes an AI-powered camera chip with features like ISP and DSP, targeting applications such as facial recognition, smart city surveillance, and security.

🛡️ Power Efficiency and Data Security at the Edge

This section focuses on the benefits of running AI at the edge, where data can remain secure on local devices, enhancing privacy and security. Yan emphasizes that Halo's chips offer high performance and power efficiency by processing data within the device's memory, keeping information safe in localized environments.

🔔 Halo's New AI Product: The Halo 10h

Yan announces Halo's latest product, the Halo 10h, designed for generative AI (gen AI) applications at the edge. He explains its potential use in various industries, particularly in industrial user interfaces and automotive markets, where gen AI can enhance user interactions and embedded systems. While the product is newly announced, its future applications are promising.

🛠️ Potential Applications of Gen AI in Embedded Systems

Yan discusses the exciting possibilities of using generative AI (gen AI) in natural language interfaces, improving user interactions with machines in industrial settings, and user interfaces in cars. He suggests that gen AI can simplify complex instructions, like explaining processes, and revolutionize embedded systems with more natural and efficient human-machine interactions.

🧪 Testing Halo's AI Technology

Yan explains how engineers can test Halo's technology using an M2 board for easy setup on laptops, PCs, or other interfaces. He mentions compatibility with platforms like Raspberry Pi, enabling rapid experimentation. Yan also hints at future demos for the gen AI technology, with further announcements expected later in the year.

🎤 Closing Remarks and Excitement for the Future

The conversation concludes with excitement for future developments and potential follow-up interviews. Yan expresses eagerness to share more about the gen AI product once it's further along, leaving a sense of anticipation for upcoming innovations from Halo.

Mindmap

Keywords

💡AI accelerator

An AI accelerator is a hardware component designed to speed up the processing of artificial intelligence algorithms, particularly for tasks such as machine learning and deep learning. In the context of the video, Halo has developed an AI accelerator that focuses on edge computing, which means it's optimized for power efficiency and performance at the edge of the network, close to where data is generated. The accelerator is showcased on an M.2 module, which is a small form factor that can be easily integrated into various devices.

💡Edge computing

Edge computing refers to the practice of processing data near the source of the data, rather than in a centralized data-processing warehouse or in the cloud. This reduces latency and bandwidth use, and it's particularly important for time-sensitive applications. In the video, Halo's AI accelerator is designed for edge computing, allowing for AI inference to be performed with low power consumption and high performance on the device itself, which is crucial for applications like smart cities and security systems.

💡Power efficiency

Power efficiency in the context of AI and computing refers to the ability of a device or system to perform tasks using the least amount of power. This is a critical consideration for edge devices, which often have limited power supplies or need to operate for extended periods without recharging. The Halo AI accelerator is highlighted for its power efficiency, consuming around 3 Watts on average, which makes it suitable for edge devices that require long battery life or low power consumption.

💡Inference

Inference in AI refers to the process of deriving conclusions or making decisions based on input data, typically after a machine learning model has been trained. In the video, Halo's AI accelerator is designed to run inference at the edge, which means it can process data and make decisions quickly without relying on a central server or cloud, which is essential for real-time applications like facial recognition or number plate recognition.

💡Halo8

Halo8 is the first product mentioned by Halo in the video, an AI accelerator designed to work in combination with various system-on-chips (SoCs) via PCI Express. It is part of Halo's offering for edge AI applications, showcasing the company's focus on providing solutions that can be integrated with existing hardware to enhance AI capabilities.

💡Halo 15

Halo 15 is described as a camera chip in the video, indicating that it's a specialized chip designed for camera systems. It includes an ISP (Image Signal Processor), a DSP (Digital Signal Processor), and AI capabilities, making it a smart camera solution. This chip is suitable for applications like facial recognition and number plate recognition, which are part of smart city and security systems.

💡Smart cities

Smart cities are urban areas that use data and technology to improve services, efficiency, and quality of life for residents. In the video, the Halo 15 chip is mentioned as being used for applications like vehicle and pedestrian detection, which are part of the broader smart city initiatives aimed at enhancing urban safety and efficiency.

💡Security

Security in the context of the video refers to the use of AI and edge computing technologies to enhance safety and surveillance. The Halo 15 chip is highlighted for its potential use in security systems, such as facial recognition and number plate recognition, which can help in monitoring and maintaining safety in public spaces.

💡Memory

Memory in computing refers to the hardware that stores data for immediate use by a computer or device. In the video, it's mentioned that running AI inference on the edge involves processing data on the device's memory, which can improve performance and power efficiency. It also allows for keeping data secure and local, which is important for privacy and latency-sensitive applications.

💡Halo 10h

Halo 10h is a new product announced by Halo, designed specifically for using Genie at the edge. Although not much detail is provided in the video, it suggests that this product will be aimed at applications in industrial user machine interfaces and other areas where natural language processing and AI can enhance user interaction and efficiency.

💡Evaluation boards

Evaluation boards are hardware platforms used by engineers to test and evaluate new technologies or components. In the video, Halo mentions that their AI accelerator can be tested using M.2 boards or Raspberry Pi hats, which are types of evaluation boards. These boards provide a convenient way for engineers to integrate and experiment with the technology before deploying it in final products.

Highlights

Introduction to Hailo's AI accelerator, focusing on AI inference at the edge for power efficiency and performance.

Hailo is an Israel-based startup founded in 2017, specializing in AI acceleration technologies.

The first product, Hailo8, is an AI accelerator on an M.2 module with 26 TOPS of computing power and an average power consumption of 3 watts.

Hailo's chips are ideal for applications like smart cities, where they help in vehicle detection, pedestrian recognition, and smart security systems.

The second-generation product, Hailo15, is a camera chip featuring an ISP, DSP, and AI capabilities for smart camera applications.

Hailo15 can be used for facial recognition and license plate recognition, contributing to smart city and security systems.

A key aspect of Hailo’s edge technology is its ability to keep data locally on the device, ensuring data security and privacy.

Hailo recently announced the Hailo10H, a product designed for Generative AI at the edge, aimed at industrial applications and user interfaces.

Hailo10H focuses on enhancing user interfaces in sectors like automotive, PC markets, and embedded systems.

Generative AI will be used to enable natural language processing, allowing devices to interact with users in more intuitive ways.

Hailo provides evaluation boards like the M.2 module, allowing engineers to test the technology on common platforms such as laptops and PCs.

Hailo also supports testing on platforms like Raspberry Pi with dedicated hardware add-ons.

The announcement of the Hailo10H introduces exciting possibilities for AI-enhanced user interfaces and industrial HMI applications.

Hailo plans to release more details and demonstrations of the GenAI product later this year, with future updates to come.

Closing remarks mention follow-up interviews to explore new developments in Hailo’s generative AI and edge technologies.

Create Stunning AI Art Instantly

No login. No cost. Just incredible AI images !

Create Stunning AI Art InstantlyGenerate Now